{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import random\n",
    "import warnings\n",
    "import numpy as np\n",
    "from scipy import stats\n",
    "from fitter import Fitter\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error as mse\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras.layers import *\n",
    "from tensorflow.keras.models import *\n",
    "from tensorflow.keras.callbacks import *\n",
    "from tensorflow.keras.optimizers import *\n",
    "from kerashypetune import KerasGridSearch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5308, 4)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>n_crimes</th>\n",
       "      <th>month</th>\n",
       "      <th>wday</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2003-01-01</td>\n",
       "      <td>191</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2003-01-02</td>\n",
       "      <td>148</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2003-01-03</td>\n",
       "      <td>160</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2003-01-04</td>\n",
       "      <td>146</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2003-01-05</td>\n",
       "      <td>120</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            n_crimes  month  wday  day\n",
       "2003-01-01       191      1     2    1\n",
       "2003-01-02       148      1     3    2\n",
       "2003-01-03       160      1     4    3\n",
       "2003-01-04       146      1     5    4\n",
       "2003-01-05       120      1     6    5"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### READ DATA ###\n",
    "\n",
    "df = pd.read_csv('crime.csv.zip')\n",
    "df['Date'] = pd.to_datetime(df[['YEAR','MONTH','DAY']])\n",
    "\n",
    "df = pd.DataFrame({'n_crimes':df.Date.value_counts().sort_index()})\n",
    "df['month'] = df.index.month\n",
    "df['wday'] = df.index.dayofweek\n",
    "df['day'] = df.index.day\n",
    "\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'daily crimes')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### PLOT AGGREGATED DAILY CRIMES ###\n",
    "\n",
    "df.n_crimes.plot(figsize=(16,6))\n",
    "plt.ylabel('daily crimes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'weekday')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### PLOT SEASONALITY PATTERNS FOR CRIME SERIES ###\n",
    "\n",
    "plt.figure(figsize=(16,6))\n",
    "\n",
    "plt.subplot(121)\n",
    "df.n_crimes.groupby(df.index.month).median().rename('median').plot(ax=plt.gca(), legend=True)\n",
    "df.n_crimes.groupby(df.index.month).apply(np.quantile, 0.3).rename('q_30').plot(legend=True)\n",
    "df.n_crimes.groupby(df.index.month).apply(np.quantile, 0.7).rename('q_70').plot(legend=True)\n",
    "plt.ylabel('crimes'); plt.xlabel('months')\n",
    "\n",
    "plt.subplot(122)\n",
    "df.n_crimes.groupby(df.index.weekday).median().rename('median').plot(ax=plt.gca(), legend=True)\n",
    "df.n_crimes.groupby(df.index.weekday).apply(np.quantile, 0.3).rename('q_30').plot(legend=True)\n",
    "df.n_crimes.groupby(df.index.weekday).apply(np.quantile, 0.7).rename('q_70').plot(legend=True)\n",
    "plt.ylabel('crimes'); plt.xlabel('weekday')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "### DEFINE UTILITY FUNCTIONS ###\n",
    "\n",
    "def create_windows(data, window_shape, step = 1, start_id = None, end_id = None):\n",
    "    \n",
    "    data = np.asarray(data)\n",
    "    data = data.reshape(-1,1) if np.prod(data.shape) == max(data.shape) else data\n",
    "        \n",
    "    start_id = 0 if start_id is None else start_id\n",
    "    end_id = data.shape[0] if end_id is None else end_id\n",
    "    \n",
    "    data = data[int(start_id):int(end_id),:]\n",
    "    window_shape = (int(window_shape), data.shape[-1])\n",
    "    step = (int(step),) * data.ndim\n",
    "    slices = tuple(slice(None, None, st) for st in step)\n",
    "    indexing_strides = data[slices].strides\n",
    "    win_indices_shape = ((np.array(data.shape) - window_shape) // step) + 1\n",
    "    \n",
    "    new_shape = tuple(list(win_indices_shape) + list(window_shape))\n",
    "    strides = tuple(list(indexing_strides) + list(data.strides))\n",
    "    \n",
    "    window_data = np.lib.stride_tricks.as_strided(data, shape=new_shape, strides=strides)\n",
    "    \n",
    "    return np.squeeze(window_data, 1)\n",
    "\n",
    "\n",
    "class Scaler3D:\n",
    "    \n",
    "    def fit(self, X):\n",
    "        self.mean = X.reshape(-1,X.shape[-1]).mean(0).reshape(1,1,-1)\n",
    "        self.std = X.reshape(-1,X.shape[-1]).std(0).reshape(1,1,-1)\n",
    "        return self\n",
    "        \n",
    "    def transform(self, X):\n",
    "        return (X - self.mean) / self.std\n",
    "    \n",
    "    def inverse_transform(self, X):\n",
    "        return (X * self.std) + self.mean\n",
    "\n",
    "    \n",
    "def prepare_seq(num_X, cat1_X, cat2_X, scaler=None):\n",
    "    \n",
    "    if scaler is not None:\n",
    "        num_X = scaler.transform(num_X)\n",
    "        \n",
    "    inp_dict = {}\n",
    "    inp_dict['inp_num'] = num_X\n",
    "    for i,c in enumerate(cat_var):\n",
    "        inp_dict[f\"inp_{c}_cat1\"] = cat1_X[:,:,i]\n",
    "        inp_dict[f\"inp_{c}_cat2\"] = cat2_X[:,:,i]\n",
    "    \n",
    "    return inp_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "### TRAIN VALID SPLIT AND SCALING ###\n",
    "\n",
    "time_h = 7\n",
    "window_shape = 21\n",
    "\n",
    "target = ['n_crimes']\n",
    "cat_var = ['month','wday','day']\n",
    "\n",
    "_id_train, _id_valid = train_test_split(np.arange((len(df) - window_shape - time_h + 1)), test_size=0.3, shuffle=False)\n",
    "\n",
    "_num_X = create_windows(df[target], window_shape=window_shape, end_id=-time_h)\n",
    "_cat1_X = create_windows(df[cat_var], window_shape=window_shape, end_id=-time_h)\n",
    "_cat2_X = create_windows(df[cat_var], window_shape=time_h, start_id=window_shape)\n",
    "_target = create_windows(df[target], window_shape=time_h, start_id=window_shape)\n",
    "\n",
    "_num_X_train = _num_X[_id_train]; _num_X_valid = _num_X[_id_valid]\n",
    "_cat1_X_train = _cat1_X[_id_train]; _cat1_X_valid = _cat1_X[_id_valid]\n",
    "_cat2_X_train = _cat2_X[_id_train]; _cat2_X_valid = _cat2_X[_id_valid]\n",
    "_target_train = _target[_id_train]; _target_valid = _target[_id_valid]\n",
    "\n",
    "X_scaler = Scaler3D().fit(_num_X_train)\n",
    "y_scaler = Scaler3D().fit(_target_train)\n",
    "\n",
    "X_train = prepare_seq(_num_X_train, _cat1_X_train, _cat2_X_train, scaler=X_scaler)\n",
    "y_train = y_scaler.transform(_target_train)\n",
    "X_valid = prepare_seq(_num_X_valid, _cat1_X_valid, _cat2_X_valid, scaler=X_scaler)\n",
    "y_valid = y_scaler.transform(_target_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "### DEFINE MODEL STRUCTURE TO OPTIMIZE ###\n",
    "\n",
    "def set_seed(seed):\n",
    "    \n",
    "    tf.random.set_seed(seed)\n",
    "    os.environ['PYTHONHASHSEED'] = str(seed)\n",
    "    np.random.seed(seed)\n",
    "    random.seed(seed)\n",
    "\n",
    "\n",
    "def get_model(param):\n",
    "    \n",
    "    set_seed(33)\n",
    "    \n",
    "    inp_num = Input((window_shape,1), name='inp_num')\n",
    "    \n",
    "    embeddings = {\n",
    "        'month': Embedding(12+1, param['emb_dim']),\n",
    "        'wday': Embedding(6+1, param['emb_dim']),\n",
    "        'day': Embedding(31+1, param['emb_dim'])\n",
    "    }\n",
    "    \n",
    "    inp_cat1, emb_cat = [], []\n",
    "    for c in cat_var:\n",
    "        _inp_c1 = Input((window_shape,), name=f\"inp_{c}_cat1\")\n",
    "        emb = embeddings[c](_inp_c1)\n",
    "        inp_cat1.append(_inp_c1)\n",
    "        emb_cat.append(emb)\n",
    "    \n",
    "    enc = Concatenate()([inp_num] + emb_cat)\n",
    "    enc = LSTM(param['lstm_unit'], return_sequences=False)(enc)\n",
    "    \n",
    "    inp_cat2, emb_future = [], []\n",
    "    for c in cat_var:\n",
    "        _inp_c2 = Input((time_h,), name=f\"inp_{c}_cat2\")\n",
    "        emb = embeddings[c](_inp_c2)\n",
    "        inp_cat2.append(_inp_c2)\n",
    "        emb_future.append(emb) \n",
    "    \n",
    "    x = RepeatVector(time_h)(enc)\n",
    "    dec = Concatenate()([x] + emb_future)\n",
    "    dec = LSTM(param['lstm_unit'], return_sequences=True)(dec)\n",
    "    \n",
    "    output = TimeDistributed(Dense(1))(dec)\n",
    "    \n",
    "    model = Model([inp_num] + inp_cat1 + inp_cat2, output)\n",
    "    model.compile(Adam(lr=param['lr']), 'mse')\n",
    "    \n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "18 trials detected for ('lstm_unit', 'emb_dim', 'lr', 'epochs', 'batch_size')\n",
      "\n",
      "***** (1/18) *****\n",
      "Search({'lstm_unit': 128, 'emb_dim': 8, 'lr': 0.0001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.21963 at epoch 24\n",
      "\n",
      "***** (2/18) *****\n",
      "Search({'lstm_unit': 128, 'emb_dim': 8, 'lr': 0.001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.21379 at epoch 16\n",
      "\n",
      "***** (3/18) *****\n",
      "Search({'lstm_unit': 128, 'emb_dim': 16, 'lr': 0.0001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.22076 at epoch 15\n",
      "\n",
      "***** (4/18) *****\n",
      "Search({'lstm_unit': 128, 'emb_dim': 16, 'lr': 0.001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.22021 at epoch 2\n",
      "\n",
      "***** (5/18) *****\n",
      "Search({'lstm_unit': 128, 'emb_dim': 32, 'lr': 0.0001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.22114 at epoch 15\n",
      "\n",
      "***** (6/18) *****\n",
      "Search({'lstm_unit': 128, 'emb_dim': 32, 'lr': 0.001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.22087 at epoch 2\n",
      "\n",
      "***** (7/18) *****\n",
      "Search({'lstm_unit': 32, 'emb_dim': 8, 'lr': 0.0001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.2201 at epoch 35\n",
      "\n",
      "***** (8/18) *****\n",
      "Search({'lstm_unit': 32, 'emb_dim': 8, 'lr': 0.001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.21825 at epoch 4\n",
      "\n",
      "***** (9/18) *****\n",
      "Search({'lstm_unit': 32, 'emb_dim': 16, 'lr': 0.0001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.22142 at epoch 29\n",
      "\n",
      "***** (10/18) *****\n",
      "Search({'lstm_unit': 32, 'emb_dim': 16, 'lr': 0.001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.22108 at epoch 4\n",
      "\n",
      "***** (11/18) *****\n",
      "Search({'lstm_unit': 32, 'emb_dim': 32, 'lr': 0.0001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.2223 at epoch 29\n",
      "\n",
      "***** (12/18) *****\n",
      "Search({'lstm_unit': 32, 'emb_dim': 32, 'lr': 0.001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.22171 at epoch 10\n",
      "\n",
      "***** (13/18) *****\n",
      "Search({'lstm_unit': 64, 'emb_dim': 8, 'lr': 0.0001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.21999 at epoch 25\n",
      "\n",
      "***** (14/18) *****\n",
      "Search({'lstm_unit': 64, 'emb_dim': 8, 'lr': 0.001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.21927 at epoch 4\n",
      "\n",
      "***** (15/18) *****\n",
      "Search({'lstm_unit': 64, 'emb_dim': 16, 'lr': 0.0001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.22143 at epoch 23\n",
      "\n",
      "***** (16/18) *****\n",
      "Search({'lstm_unit': 64, 'emb_dim': 16, 'lr': 0.001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.21804 at epoch 10\n",
      "\n",
      "***** (17/18) *****\n",
      "Search({'lstm_unit': 64, 'emb_dim': 32, 'lr': 0.0001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.22151 at epoch 17\n",
      "\n",
      "***** (18/18) *****\n",
      "Search({'lstm_unit': 64, 'emb_dim': 32, 'lr': 0.001, 'epochs': 100, 'batch_size': 64})\n",
      "SCORE: 0.22199 at epoch 6\n"
     ]
    }
   ],
   "source": [
    "### FIT AND OPTIMIZE MODEL ###\n",
    "\n",
    "param_grid = {\n",
    "    'lstm_unit': [128,64,32], \n",
    "    'emb_dim': [8,16,32],\n",
    "    'lr': [1e-4,1e-3], \n",
    "    'epochs': 100, \n",
    "    'batch_size': 64\n",
    "}\n",
    "\n",
    "es = EarlyStopping(patience=7, verbose=0, min_delta=0.001, monitor='val_loss', mode='auto', restore_best_weights=True)\n",
    "hypermodel = get_model\n",
    "kgs = KerasGridSearch(hypermodel, param_grid, monitor='val_loss', greater_is_better=False, tuner_verbose=1)\n",
    "kgs.search(X_train, y_train, validation_data=(X_valid, y_valid), callbacks=[es])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BEST PARAM: {'lstm_unit': 128, 'emb_dim': 8, 'lr': 0.001, 'epochs': 16, 'batch_size': 64, 'steps_per_epoch': 58}\n"
     ]
    }
   ],
   "source": [
    "print('BEST PARAM:', kgs.best_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "### RETRIVE PREDICTIONS ###\n",
    "\n",
    "pred = np.squeeze(\n",
    "    y_scaler.inverse_transform(\n",
    "        kgs.best_model.predict(X_valid)\n",
    "    ), -1)\n",
    "\n",
    "y_valid = np.squeeze(y_scaler.inverse_transform(y_valid), -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### PLOT TRUE vs PREDICTIONS ###\n",
    "\n",
    "plt.figure(figsize=(16,6))\n",
    "\n",
    "for t_h in range(time_h):\n",
    "    plt.plot(pred[(time_h-t_h):-(t_h+1),t_h], \n",
    "             c='blue', alpha=1-1/(time_h+1)*(t_h+1),\n",
    "             label=f\"pred day + {t_h+1}\")\n",
    "\n",
    "plt.plot(y_valid[time_h:,0], c='red', alpha=0.6, label='true')\n",
    "\n",
    "plt.ylabel('daily crimes'); plt.xlabel('time'); plt.legend(); plt.show()\n",
    "np.set_printoptions(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "### GET MODEL AND BASELINE MSE ###\n",
    "\n",
    "mse_model = {}\n",
    "mse_baseline = {}\n",
    "    \n",
    "for t_h in range(time_h):\n",
    "\n",
    "    _mse = mse(y_valid[1:,t_h], y_valid[:-1,0])\n",
    "    mse_baseline[f\"day + {t_h+1}\"] = _mse \n",
    "\n",
    "    _mse = mse(y_valid[:,t_h], pred[:,t_h])\n",
    "    mse_model[f\"day + {t_h+1}\"] = _mse "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### PLOT AND COMPARE MSE ###\n",
    "\n",
    "plt.figure(figsize=(14,5))\n",
    "\n",
    "plt.bar(np.arange(len(mse_model))-0.15, mse_model.values(), alpha=0.5, width=0.3, label='Seq2Seq')\n",
    "plt.bar(np.arange(len(mse_baseline))+0.15, mse_baseline.values(), alpha=0.5, width=0.3, label='Baseline')\n",
    "plt.xticks(range(len(mse_baseline)), mse_baseline.keys())\n",
    "plt.ylabel('MSE'); plt.legend()\n",
    "np.set_printoptions(False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EXTREME VALUE ANALYSIS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "### GET RESIDUALS ###\n",
    "\n",
    "t_h = 1 # desired time forecasting horizon to compute the EVA\n",
    "\n",
    "resid = np.abs(y_valid[:,t_h] - pred[:,t_h])\n",
    "data = pd.Series(resid, index=(df.iloc[_id_valid[0]:_id_valid[-1]+1]).index, name='resid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'residuals')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### PLOT BLOCK MAXIMA BLOCKS ###\n",
    "\n",
    "plt.figure(figsize=(16,6))\n",
    "\n",
    "plt.subplot(121)\n",
    "data.plot(ax=plt.gca(), alpha=0.5)\n",
    "plt.scatter(data[data.resample('1M').apply(lambda x: x.idxmax()).values].index, \n",
    "            data[data.resample('1M').apply(lambda x: x.idxmax()).values].values, c='red')\n",
    "plt.ylabel('residuals')\n",
    "\n",
    "plt.subplot(122)\n",
    "data = data.resample('1M').max()\n",
    "data.plot(ax=plt.gca(), c='red')\n",
    "plt.ylabel('residuals')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "### UTILITY FUNCTION FOR STATISTICS BOOTSTRAP ###\n",
    "\n",
    "def bootstrap_ci(\n",
    "    data, \n",
    "    statfunction=np.average, \n",
    "    alpha = 0.05, \n",
    "    n_samples = 100):\n",
    "\n",
    "    \"\"\"inspired by https://github.com/cgevans/scikits-bootstrap\"\"\"\n",
    "\n",
    "    def bootstrap_ids(data, n_samples=100):\n",
    "        for _ in range(n_samples):\n",
    "            yield np.random.randint(data.shape[0], size=(data.shape[0],))    \n",
    "    \n",
    "    alphas = np.array([alpha/2, 1 - alpha/2])\n",
    "    nvals = np.round((n_samples - 1) * alphas).astype(int)\n",
    "    if np.any(nvals < 10) or np.any(nvals >= n_samples-10):\n",
    "        warnings.warn(\"Some values used extremal samples; results are probably unstable. \"\n",
    "                      \"Try to increase n_samples\")\n",
    "\n",
    "    data = np.array(data)\n",
    "    if np.prod(data.shape) != max(data.shape):\n",
    "        raise ValueError(\"Data must be 1D\")\n",
    "    data = data.ravel()\n",
    "    \n",
    "    boot_indexes = bootstrap_ids(data, n_samples)\n",
    "    stat = np.asarray([statfunction(data[_ids]) for _ids in boot_indexes])\n",
    "    stat.sort(axis=0)\n",
    "\n",
    "    return stat[nvals]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <div style=\"float: left; border: 1px solid black; width:500px\">\n",
       "              <div id=\"768fae81-4d67-480f-ad9d-499763c60895\" style=\"background-color:blue; width:0%\">&nbsp;</div>\n",
       "            </div>\n",
       "            <label id=\"8e715bc5-a02a-424f-8ecf-5bfcb5bc7ec5\" style=\"padding-left: 10px;\" text = \"\"/>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### GET DISTRIBUTION FOR EXTREME RESIDUALS ###\n",
    "\n",
    "f = Fitter(data, distributions=['genextreme','gumbel_r'], bins=20)\n",
    "f.fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### PLOT DISTRIBUTION FOR EXTREME RESIDUALS ###\n",
    "\n",
    "plt.figure(figsize=(8,5))\n",
    "\n",
    "f.summary()\n",
    "plt.grid(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'genextreme': (0.02899787934754481, 27.239734675525096, 6.136422052158579)}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_dist = eval(f\"stats.{list(f.get_best().keys())[0]}\")\n",
    "f.get_best()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.02899787934754481, 27.239734675525096, 6.136422052158579)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### RETRIVE ESTIMATED PARAMS FROM THE BEST DISTRIBUTION ###\n",
    "\n",
    "best_params = best_dist.fit(data)\n",
    "best_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0., 25.,  5.],\n",
       "       [ 0., 30.,  7.]])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### COMPUTE BOOTSTRAP INTERVALS FOR THE ESTIMATED BEST PARAMS ###\n",
    "\n",
    "np.random.seed(111)\n",
    "ci_params = bootstrap_ci(data, best_dist.fit, n_samples=500)\n",
    "ci_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "### DEFINE RETURN PERIODS AND ESTIMATED RETURN VALUES ###\n",
    "\n",
    "eps = 1e-1\n",
    "T = np.arange(1, 1000, eps) + eps # return periods\n",
    "q = 1-1/T\n",
    "ppf = best_dist.ppf(q, *best_params) # return values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 20.,  22.,  23., ...,  46.,  46.,  46.],\n",
       "       [ 24.,  26.,  27., ..., 105., 105., 105.]])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### COMPUTE BOOTSTRAP INTERVALS FOR THE ESTIMATED RETURN VALUES ###\n",
    "\n",
    "def gen_ppf(data, q):\n",
    "    \n",
    "    new_param = best_dist.fit(data)\n",
    "    ppf = best_dist.ppf(q, *new_param)\n",
    "    \n",
    "    return ppf\n",
    "\n",
    "np.random.seed(111)\n",
    "ci_ppf = bootstrap_ci(data, lambda x: gen_ppf(x, q), n_samples=500, alpha=0.05)\n",
    "ci_ppf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'return periods (log scale)')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### RETURN VALUE PLOT ###\n",
    "\n",
    "plt.figure(figsize=(16,6))\n",
    "\n",
    "plt.semilogx(T, ppf, c='blue')\n",
    "plt.semilogx(T, ci_ppf[0], c='blue', linestyle='--')\n",
    "plt.semilogx(T, ci_ppf[1], c='blue', linestyle='--')\n",
    "\n",
    "N = np.arange(1, len(data)+1)\n",
    "plt.scatter(N[-1]/N, sorted(data)[::-1], color = 'red')\n",
    "plt.ylabel('return values'); plt.xlabel('return periods (log scale)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>low_ci</th>\n",
       "      <th>return_value</th>\n",
       "      <th>up_ci</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>return_period</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>20.233287</td>\n",
       "      <td>21.804239</td>\n",
       "      <td>24.222223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>27.835444</td>\n",
       "      <td>29.898284</td>\n",
       "      <td>32.779873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>33.446171</td>\n",
       "      <td>36.376841</td>\n",
       "      <td>40.255112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>36.612446</td>\n",
       "      <td>40.668314</td>\n",
       "      <td>45.075642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>39.820719</td>\n",
       "      <td>46.007343</td>\n",
       "      <td>53.561490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50</td>\n",
       "      <td>41.734465</td>\n",
       "      <td>49.889810</td>\n",
       "      <td>60.446690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>100</td>\n",
       "      <td>42.860351</td>\n",
       "      <td>53.671822</td>\n",
       "      <td>69.420590</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  low_ci  return_value      up_ci\n",
       "return_period                                    \n",
       "1              20.233287     21.804239  24.222223\n",
       "2              27.835444     29.898284  32.779873\n",
       "5              33.446171     36.376841  40.255112\n",
       "10             36.612446     40.668314  45.075642\n",
       "25             39.820719     46.007343  53.561490\n",
       "50             41.734465     49.889810  60.446690\n",
       "100            42.860351     53.671822  69.420590"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### CREATE A SHORT SUMMARY ###\n",
    "\n",
    "eps = 1e-1\n",
    "T = np.asarray([1, 2, 5, 10, 25, 50, 100]) + eps\n",
    "q = 1-1/T\n",
    "ppf = best_dist.ppf(q, *best_params)\n",
    "\n",
    "np.random.seed(111)\n",
    "ci_ppf = bootstrap_ci(data, lambda x: gen_ppf(x, q), n_samples=500, alpha=0.05)\n",
    "\n",
    "summary = pd.DataFrame({\n",
    "    'return_period':(T-eps).astype(int),\n",
    "    'low_ci':ci_ppf[0], \n",
    "    'return_value':ppf, \n",
    "    'up_ci':ci_ppf[-1]\n",
    "}).set_index('return_period')\n",
    "\n",
    "summary"
   ]
  }
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